Evidence map›Paper›PMID 36322456›Full record

ArticleeLife2022

Mechanisms governing target search and binding dynamics of hypoxia-inducible factors.

Yu Chen, Claudia Cattoglio, Gina M Dailey, Qiulin Zhu, Robert Tjian, Xavier Darzacq

Open access · goldAbstract read
In one paragraph

Article in eLife, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed
4.8field-weighted citation impact, top 4% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

44 citing papers in PubMed, 62 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 1 country.

Yu ChenDepartment of Molecular and Cell Biology, University of California, Berkeley, Berkeley, United States.ORCID 0000-0001-7856-4648
Claudia CattoglioDepartment of Molecular and Cell Biology, University of California, Berkeley, Berkeley, United States.ORCID 0000-0001-6100-0491
Gina M DaileyDepartment of Molecular and Cell Biology, University of California, Berkeley, Berkeley, United States.ORCID 0000-0002-8988-963X
Qiulin ZhuDepartment of Molecular and Cell Biology, University of California, Berkeley, Berkeley, United States.
Robert TjianDepartment of Molecular and Cell Biology, University of California, Berkeley, Berkeley, United States.ORCID 0000-0003-0539-8217
Xavier DarzacqDepartment of Molecular and Cell Biology, University of California, Berkeley, Berkeley, United States.ORCID 0000-0003-2537-8395
Howard Hughes Medical Institute · USUniversity of California, Berkeley · US

Funding

Project 2: Evaluating the dynamic protein-protein interactions mediated by LCDs within EWS/FLI and its partners in living cells via single molecule imagingU54CA231641 · NCI · RESEARCH INST NATIONWIDE CHILDREN'S HOSP · PI LESSNICK, STEPHEN L. · 2018 to 2018
$6.2M
Pacific Biosciences PacBio RS Single Molecule Real Time SequencerS10OD018174 · OD · UNIVERSITY OF CALIFORNIA BERKELEY · PI ROKHSAR, DANIEL SOLEYMAN · 2014 to 2014
$600k
Howard Hughes Medical InstituteNCI NIH HHS U54 CA231641NIH HHS S10 OD018174
6 · The paper itself

Abstract

Transcription factors (TFs) are classically attributed a modular construction, containing well-structured sequence-specific DNA-binding domains (DBDs) paired with disordered activation domains (ADs) responsible for protein-protein interactions targeting co-factors or the core transcription initiation machinery. However, this simple division of labor model struggles to explain why TFs with identical DNA-binding sequence specificity determined in vitro exhibit distinct binding profiles in vivo. The family of hypoxia-inducible factors (HIFs) offer a stark example: aberrantly expressed in several cancer types, HIF-1α and HIF-2α subunit isoforms recognize the same DNA motif in vitro - the hypoxia response element (HRE) - but only share a subset of their target genes in vivo, while eliciting contrasting effects on cancer development and progression under certain circumstances. To probe the mechanisms mediating isoform-specific gene regulation, we used live-cell single particle tracking (SPT) to investigate HIF nuclear dynamics and how they change upon genetic perturbation or drug treatment. We found that HIF-α subunits and their dimerization partner HIF-1β exhibit distinct diffusion and binding characteristics that are exquisitely sensitive to concentration and subunit stoichiometry. Using domain-swap variants, mutations, and a HIF-2α specific inhibitor, we found that although the DBD and dimerization domains are important, another main determinant of chromatin binding and diffusion behavior is the AD-containing intrinsically disordered region (IDR). Using Cut&Run and RNA-seq as orthogonal genomic approaches, we also confirmed IDR-dependent binding and activation of a specific subset of HIF target genes. These findings reveal a previously unappreciated role of IDRs in regulating the TF search and binding process that contribute to functional target site selectivity on chromatin.

Indexed as

Basic Helix-Loop-Helix ProteinsGene Expression RegulationChromatinDNAHumansHypoxiaHypoxia-Inducible Factor 1, alpha SubunitBasic Helix-Loop-Helix ProteinsChromatinDNAHypoxia-Inducible Factor 1, alpha Subunitchromosomesgene expressionhumanintrinsically disordered regionsmolecular biophysicssingle particle trackingstructural biologytranscription factors

Identifiers

PMID36322456
PMCPMC9681212
OpenAlexW4307935850

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.